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Table 1 The Maximum Degree Determinant in Matrix Design.
Most important, the Matrix design is meant to be manufactured at existing chip plants, saving money and time.
A methodology for automatic subsampling matrix design was also developed.
We consider the optimization of these two cases as measurement matrix design for 1D-CS model.
The measurement matrix design for all cases was proposed based on minimizing MC of sensing matrix using gradient descent algorithm.
Figure 9 shows the runtime of measurement matrix design for different methods versus the number of measurements.
Figure 3 shows the convergence curve of this algorithm for our proposed measurement matrix design for 500 Monte Carlo runs.
However, due to the multiple matrix design, there could have been an insufficient number of responses per item (Eggen 2008).
In Section 4, we propose a measurement matrix design for 1D and 2D CS model using gradient decent algorithm.
First, the items were coded dichotomously (correct = 1 and incorrect = 0) and were entered into the multiple matrix design.
Recently, some measurement matrix design methods have been proposed based on minimizing the MC of the sensing matrix [29 31].
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